• DocumentCode
    1926985
  • Title

    A theoretical framework for developing distributed admissions control over delay-sensitive media flows

  • Author

    Liu, Jun

  • Author_Institution
    Comput. Sci. Dept., Univ. of North Dakota, Grand Forks, ND, USA
  • fYear
    2011
  • fDate
    6-7 June 2011
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    The performance of most real-time streaming media applications is sensitive to transmission delays. This paper describes a distributed admissions control method to ensure the required sending rates for the real-time media streams. A utility function is first developed to model the satisfaction of delay sensitive media streams. Then, the optimal admissions control on streams are formulated into a social optimum oriented network utility maximization (NUM) problem. The existence of an optimal solution to the NUM problem has been demonstrated through constructing a centralized algorithm for the determining the admissions for all streams. The centralized algorithm provides insights to find the optimal solution through a distributed algorithm. A distributed admissions control method can be developed based on the dual decomposition of the primal problem. The construction of this distributed admissions control method follows the DiffServ approach.
  • Keywords
    media streaming; telecommunication congestion control; centralized algorithm; delay-sensitive media flows; distributed admissions control; optimal admissions control; real-time streaming media applications; social optimum oriented network utility maximization problem; theoretical framework; transmission delays; utility function; Admission control; Approximation methods; Bismuth; Delay; Mathematical model; Media; Real time systems; Delay-Sensitive Media Streams; Distributed Admissions Control; Network Utility Maximization; Pricing Schemes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality of Service (IWQoS), 2011 IEEE 19th International Workshop on
  • Conference_Location
    San Jose, CA
  • ISSN
    1548-615X
  • Print_ISBN
    978-1-4577-0104-7
  • Electronic_ISBN
    1548-615X
  • Type

    conf

  • DOI
    10.1109/IWQOS.2011.5931317
  • Filename
    5931317